Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "22"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 22 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 68 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 66 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 22, Node N06:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459884 not_connected 100.00% 0.00% 0.00% 0.00% - - 32.056590 8.807109 -0.855205 -0.627625 6.960682 2.638075 15.050712 3.882994 0.4536 0.6101 0.3228 nan nan
2459883 not_connected 100.00% 0.00% 0.00% 0.00% - - 40.044877 13.085789 5.461548 16.024171 6.273850 6.541873 59.611506 81.061556 0.4660 0.6137 0.3128 nan nan
2459882 not_connected 100.00% 0.00% 0.00% 0.00% - - 67.214582 19.132272 8.084922 21.427426 8.907576 6.958143 35.519310 60.331609 0.4674 0.6117 0.3150 nan nan
2459881 not_connected 100.00% 0.00% 0.00% 0.00% - - 36.910008 13.533606 7.588993 22.694934 13.781020 10.380278 17.417689 6.078930 0.5328 0.6659 0.2379 nan nan
2459880 not_connected 100.00% 0.00% 0.00% 0.00% - - 44.466454 9.866167 5.511566 17.866883 6.991047 7.886548 18.208711 43.339092 0.4548 0.6064 0.3081 nan nan
2459879 not_connected 100.00% 0.00% 0.00% 0.00% - - 25.307553 9.599604 -0.127696 -2.474029 5.519833 3.715605 5.649590 7.087668 0.4214 0.5918 0.3378 nan nan
2459878 not_connected 100.00% 0.00% 0.00% 0.00% - - 40.803493 13.985407 6.799727 21.155402 11.049751 7.990669 35.221783 36.226906 0.4555 0.6091 0.3308 nan nan
2459876 not_connected 100.00% 0.00% 0.00% 0.00% - - 41.712310 16.135193 4.136401 13.729031 19.156202 12.400335 6.460652 -0.295599 0.4575 0.6215 0.3355 nan nan
2459875 not_connected 100.00% 0.00% 0.00% 0.00% - - 47.135584 17.067326 6.592913 21.617782 7.691615 4.441673 3.222855 1.207428 0.4905 0.6473 0.3383 nan nan
2459874 not_connected 100.00% 0.00% 0.00% 0.00% - - 63.516694 21.829431 2.474942 10.077104 8.312336 9.003464 6.660312 6.259613 0.4529 0.6071 0.3321 nan nan
2459873 not_connected 100.00% 0.00% 0.00% 0.00% - - 50.549918 19.316913 4.482488 15.177631 6.543735 4.158675 4.648365 8.684433 0.4682 0.6102 0.3197 nan nan
2459872 not_connected 100.00% 0.00% 0.00% 0.00% - - 44.851870 15.924735 5.797265 20.727300 10.683878 7.720557 7.117031 0.683581 0.4645 0.6129 0.3413 nan nan
2459871 not_connected 100.00% 0.00% 0.00% 0.00% - - 35.369225 13.770655 5.602033 20.468500 11.567953 7.142921 3.539827 1.939891 0.4740 0.6197 0.3241 nan nan
2459870 not_connected 100.00% 0.00% 0.00% 0.00% - - 56.862377 22.705892 3.647949 13.368149 10.146333 5.764048 10.892370 5.526432 0.4595 0.6163 0.3314 nan nan
2459869 not_connected 100.00% 0.00% 0.00% 0.00% - - 46.249035 17.538706 3.421536 11.733708 6.085381 5.223617 5.814081 2.279497 0.4761 0.6385 0.3254 nan nan
2459868 not_connected 100.00% 0.00% 0.00% 0.00% - - 52.638190 17.428418 6.011980 23.429689 5.094809 5.770260 13.123284 23.232929 0.4503 0.6084 0.3366 nan nan
2459867 not_connected 100.00% 0.00% 0.00% 0.00% - - 39.986739 13.264548 5.059069 18.488647 4.630510 3.845745 6.908499 3.289622 0.4599 0.6112 0.3458 nan nan
2459866 not_connected 100.00% 0.00% 0.00% 0.00% - - 42.078835 18.470635 4.268309 15.868377 8.976857 5.448839 10.939229 18.642931 0.4585 0.6104 0.3299 nan nan
2459865 not_connected 100.00% 0.00% 0.00% 0.00% - - 49.419683 27.542090 6.974083 23.207398 5.147654 16.507924 9.040095 5.766451 0.5186 0.6280 0.2945 nan nan
2459864 not_connected 100.00% 0.00% 0.00% 0.00% - - 60.024173 25.510596 3.481548 11.311538 3.770548 3.192496 20.389990 9.308791 0.4631 0.6080 0.3403 nan nan
2459863 not_connected 100.00% 0.00% 0.00% 0.00% - - 38.579726 16.012679 -1.223797 -0.091199 4.406411 2.190427 11.141523 22.853934 0.4667 0.5938 0.3238 nan nan
2459862 not_connected 100.00% 0.00% 0.00% 0.00% - - 38.753371 10.056397 5.146123 13.657243 8.647544 10.015469 3.995681 6.970378 0.4620 0.6229 0.3485 nan nan
2459861 not_connected 100.00% 0.00% 0.00% 0.00% - - 29.634336 10.213586 -1.523120 -1.510424 1.146190 0.175961 4.803483 1.224708 0.4765 0.6173 0.3477 nan nan
2459860 not_connected 100.00% 0.00% 0.00% 0.00% - - 27.071169 7.821696 1.534985 9.361170 3.910646 4.643519 5.000835 3.618376 0.4692 0.6081 0.3491 nan nan
2459859 not_connected 100.00% 0.00% 0.00% 0.00% - - 25.775905 7.320794 -1.096653 -1.800955 1.319410 2.503891 14.986190 42.242966 0.4769 0.6158 0.3416 nan nan
2459858 not_connected 100.00% 27.87% 0.00% 0.00% 100.00% 0.00% 29.943399 9.259628 -1.162892 -2.175144 10.770103 6.794263 17.936014 7.309993 0.4701 0.6257 0.3578 1.925440 2.631848
2459857 not_connected 100.00% 100.00% 100.00% 0.00% - - 3.321911 -0.121770 1.836065 2.296282 5.143887 10.165600 -0.748579 0.367222 0.0303 0.0290 0.0012 nan nan
2459856 not_connected 100.00% 42.29% 0.00% 0.00% 100.00% 0.00% 34.803023 12.259046 0.930157 7.111052 9.460882 10.556107 10.297882 37.423203 0.4504 0.6345 0.3579 1.985052 2.584188
2459855 not_connected 100.00% 44.44% 0.00% 0.00% 100.00% 0.00% 46.979973 14.108478 2.118194 9.772476 11.603151 8.933089 7.423507 12.660289 0.4401 0.6362 0.3933 2.386760 3.116543
2459854 not_connected 100.00% 14.32% 0.00% 0.00% 100.00% 0.00% 47.662679 15.965677 2.859225 8.315588 6.344076 6.761042 5.592661 2.479716 0.5023 0.6750 0.3814 2.206818 2.608990
2459853 not_connected 100.00% 31.98% 0.00% 0.00% 100.00% 0.00% 32.490669 12.137748 2.078711 10.185805 8.369442 7.472860 8.031803 9.858229 0.4861 0.6239 0.3636 2.268376 3.199849
2459852 not_connected 100.00% 0.54% 0.00% 0.00% 100.00% 0.00% 24.551891 16.327851 4.176345 12.018639 7.800569 6.698770 7.269220 9.999952 0.6969 0.7822 0.2235 5.680809 5.890797
2459851 not_connected 100.00% 19.87% 0.00% 0.00% 100.00% 0.00% 28.951698 12.035270 4.562059 11.758201 12.752246 16.367473 9.260936 10.205542 0.5488 0.6807 0.3016 5.240797 5.384461
2459850 not_connected 100.00% 34.46% 0.00% 0.00% 100.00% 0.00% 33.913151 13.650581 2.536741 9.476696 10.061008 8.386575 6.380513 6.512300 0.5313 0.6916 0.3189 2.116672 2.713851
2459849 not_connected 100.00% 33.44% 0.00% 0.00% 100.00% 0.00% 36.414071 13.629662 3.701924 16.238358 10.808385 13.904020 6.145397 5.723340 0.5069 0.6868 0.3241 2.478555 3.584708
2459848 not_connected 100.00% 23.07% 0.00% 0.00% 100.00% 0.00% 38.057983 14.271144 6.182558 14.173827 16.822895 10.309345 3.660629 4.495119 0.5145 0.6818 0.3345 2.266568 2.775096
2459847 not_connected 100.00% 21.48% 0.00% 0.00% 100.00% 0.00% 42.058755 14.765383 8.000516 14.842420 15.105106 12.948363 11.394116 14.656633 0.5003 0.6224 0.3524 2.423666 3.075100
2459846 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 35.578893 14.096680 4.054215 11.777233 4.402871 3.035083 9.955665 4.594237 0.6483 0.6448 0.3818 0.000000 0.000000
2459845 not_connected 100.00% 16.03% 0.00% 0.00% 100.00% 0.00% 43.715293 12.806949 5.727814 17.170396 17.579480 18.719523 27.764048 57.064939 0.5220 0.6929 0.3380 0.000000 0.000000
2459844 not_connected 100.00% 100.00% 100.00% 0.00% - - 7.013451 2.850241 60.230871 60.919491 3.860912 8.397641 -0.156580 0.432707 0.0303 0.0286 0.0015 nan nan
2459843 not_connected 100.00% 7.21% 0.66% 0.00% 100.00% 0.00% 53.827177 9.148215 4.943364 15.156686 11.606506 3.297745 5.270577 3.384078 0.5510 0.7028 0.3274 0.000000 0.000000
2459842 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.174697 1.377121 -1.632777 -0.129400 -1.388409 -1.614835 0.173337 -2.266878 0.5599 0.5927 0.2048 3.004668 3.208277
2459841 not_connected 100.00% 0.00% 0.00% 0.00% - - 18.960633 41.481256 106.843590 122.601746 266.618362 113.193094 87.134675 52.899585 0.6390 0.6932 0.2297 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 22: 2459884

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 32.056590 8.807109 32.056590 -0.627625 -0.855205 2.638075 6.960682 3.882994 15.050712

Antenna 22: 2459883

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected nn Temporal Discontinuties 81.061556 13.085789 40.044877 16.024171 5.461548 6.541873 6.273850 81.061556 59.611506

Antenna 22: 2459882

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 67.214582 19.132272 67.214582 21.427426 8.084922 6.958143 8.907576 60.331609 35.519310

Antenna 22: 2459881

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 36.910008 13.533606 36.910008 22.694934 7.588993 10.380278 13.781020 6.078930 17.417689

Antenna 22: 2459880

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 44.466454 9.866167 44.466454 17.866883 5.511566 7.886548 6.991047 43.339092 18.208711

Antenna 22: 2459879

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 25.307553 9.599604 25.307553 -2.474029 -0.127696 3.715605 5.519833 7.087668 5.649590

Antenna 22: 2459878

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 40.803493 13.985407 40.803493 21.155402 6.799727 7.990669 11.049751 36.226906 35.221783

Antenna 22: 2459876

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 41.712310 41.712310 16.135193 4.136401 13.729031 19.156202 12.400335 6.460652 -0.295599

Antenna 22: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 47.135584 47.135584 17.067326 6.592913 21.617782 7.691615 4.441673 3.222855 1.207428

Antenna 22: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 63.516694 63.516694 21.829431 2.474942 10.077104 8.312336 9.003464 6.660312 6.259613

Antenna 22: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 50.549918 50.549918 19.316913 4.482488 15.177631 6.543735 4.158675 4.648365 8.684433

Antenna 22: 2459872

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 44.851870 15.924735 44.851870 20.727300 5.797265 7.720557 10.683878 0.683581 7.117031

Antenna 22: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 35.369225 13.770655 35.369225 20.468500 5.602033 7.142921 11.567953 1.939891 3.539827

Antenna 22: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 56.862377 56.862377 22.705892 3.647949 13.368149 10.146333 5.764048 10.892370 5.526432

Antenna 22: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 46.249035 46.249035 17.538706 3.421536 11.733708 6.085381 5.223617 5.814081 2.279497

Antenna 22: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 52.638190 52.638190 17.428418 6.011980 23.429689 5.094809 5.770260 13.123284 23.232929

Antenna 22: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 39.986739 39.986739 13.264548 5.059069 18.488647 4.630510 3.845745 6.908499 3.289622

Antenna 22: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 42.078835 18.470635 42.078835 15.868377 4.268309 5.448839 8.976857 18.642931 10.939229

Antenna 22: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 49.419683 49.419683 27.542090 6.974083 23.207398 5.147654 16.507924 9.040095 5.766451

Antenna 22: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 60.024173 25.510596 60.024173 11.311538 3.481548 3.192496 3.770548 9.308791 20.389990

Antenna 22: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 38.579726 38.579726 16.012679 -1.223797 -0.091199 4.406411 2.190427 11.141523 22.853934

Antenna 22: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 38.753371 38.753371 10.056397 5.146123 13.657243 8.647544 10.015469 3.995681 6.970378

Antenna 22: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 29.634336 10.213586 29.634336 -1.510424 -1.523120 0.175961 1.146190 1.224708 4.803483

Antenna 22: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 27.071169 27.071169 7.821696 1.534985 9.361170 3.910646 4.643519 5.000835 3.618376

Antenna 22: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected nn Temporal Discontinuties 42.242966 25.775905 7.320794 -1.096653 -1.800955 1.319410 2.503891 14.986190 42.242966

Antenna 22: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 29.943399 9.259628 29.943399 -2.175144 -1.162892 6.794263 10.770103 7.309993 17.936014

Antenna 22: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected nn Temporal Variability 10.165600 -0.121770 3.321911 2.296282 1.836065 10.165600 5.143887 0.367222 -0.748579

Antenna 22: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected nn Temporal Discontinuties 37.423203 34.803023 12.259046 0.930157 7.111052 9.460882 10.556107 10.297882 37.423203

Antenna 22: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 46.979973 14.108478 46.979973 9.772476 2.118194 8.933089 11.603151 12.660289 7.423507

Antenna 22: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 47.662679 15.965677 47.662679 8.315588 2.859225 6.761042 6.344076 2.479716 5.592661

Antenna 22: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 32.490669 12.137748 32.490669 10.185805 2.078711 7.472860 8.369442 9.858229 8.031803

Antenna 22: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 24.551891 24.551891 16.327851 4.176345 12.018639 7.800569 6.698770 7.269220 9.999952

Antenna 22: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 28.951698 28.951698 12.035270 4.562059 11.758201 12.752246 16.367473 9.260936 10.205542

Antenna 22: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 33.913151 33.913151 13.650581 2.536741 9.476696 10.061008 8.386575 6.380513 6.512300

Antenna 22: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 36.414071 36.414071 13.629662 3.701924 16.238358 10.808385 13.904020 6.145397 5.723340

Antenna 22: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 38.057983 14.271144 38.057983 14.173827 6.182558 10.309345 16.822895 4.495119 3.660629

Antenna 22: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 42.058755 14.765383 42.058755 14.842420 8.000516 12.948363 15.105106 14.656633 11.394116

Antenna 22: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 35.578893 35.578893 14.096680 4.054215 11.777233 4.402871 3.035083 9.955665 4.594237

Antenna 22: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected nn Temporal Discontinuties 57.064939 12.806949 43.715293 17.170396 5.727814 18.719523 17.579480 57.064939 27.764048

Antenna 22: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected nn Power 60.919491 7.013451 2.850241 60.230871 60.919491 3.860912 8.397641 -0.156580 0.432707

Antenna 22: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 53.827177 9.148215 53.827177 15.156686 4.943364 3.297745 11.606506 3.384078 5.270577

Antenna 22: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Shape 14.174697 14.174697 1.377121 -1.632777 -0.129400 -1.388409 -1.614835 0.173337 -2.266878

Antenna 22: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
22 N06 not_connected ee Temporal Variability 266.618362 18.960633 41.481256 106.843590 122.601746 266.618362 113.193094 87.134675 52.899585
In [ ]: